Abstract
Existing adaptive decoding algorithms[3-5] for Turbo-OFDM system can still be improved. We present a new algorithm that we believe is better; besides, it is simple and robust. We present the model of our Turbo-OFDM system including the model of channel and the model of our adaptive Turbo-OFDM system based on channel classification, and the performance characteristics of our adaptive Turbo-OFDM system based on channel classification. Simulation results show preliminarily that, over slow flat fading channel, the proposed algorithm obtains superior performance with lower average BER and higher average decoding speed; in other words, the decoding process is speeded up at the cost of sacrifice in BER with high received SNRs, and the BER is decreased at the cost of sacrifice in decoding speed with low received SNRs. The proposed algorithm can decrease BER by 24% compared with 4-fixed-iterations decoding algorithm, and speed up the decoding process by 26% compared with 8-fixed-iterations decoding algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 590-594 |
| Number of pages | 5 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 24 |
| Issue number | 5 |
| State | Published - Oct 2006 |
Keywords
- BER (Bit Error Rate)
- Channel classification
- Decoding speed
- OFDM (Orthogonal Frequency Division Multiplexing)
- Turbo code